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Microsoft's speech recognition system hits a new accuracy milestone

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Microsoft announced today that its conversational speech recognition system has reached a 5.1% error rate, its lowest so far. This surpasses the 5.9% error rate reached last year by a group of researchers from Microsoft Artificial Intelligence and Research and puts its accuracy on par with professional human transcribers who have advantages like the ability to listen to text several times. Overall, researchers from the latest study reduced the error rate by about 12 percent compared to last year's findings by improving the neural net-based acoustic and language models of Microsoft's speech recognition system. Microsoft's speech recognition system is used in services like Cortana, Presentation Translator and Microsoft Cognitive Services.


Finally, Amazon Artificial Intelligence Got Wings to Fly High

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This type of personal AI had been introduced previously in the mega-hit movie "Iron Man' with the AI system called "Jarvis." Right now most drones use a joypad/joystick style controls to operate the drone, by contrast, this company is developing its drone (called "ORCA") to utilize open networking/the Internet. Contributing to the crowdfund campaign will allow the development team to fully develop this model so that more people can benefit from AI based drones. In fact, it will allow for AI technology provided by Amazon AWS to be used by drones.


Artificial Intelligence Market Size to Reach $ 35,870 Million by 2025: Grand View Research, Inc.

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Advances in image and voice recognition are driving the growth of the artificial intelligence market as improved image recognition technology is critical to offer enhanced drones, self-driving cars, and robotics. The two major factors enabling market growth are emerging AI technologies and growth in big data espousal. Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. Thecompany provides syndicated research reports, customized research reports, and consulting services.


Why isn't IBM's Watson supercomputer making money?

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A scathing report from investment bank Jefferies claims that from an earnings per share perspective "it seems unlikely to us under almost any scenario that Watson will generate meaningful earnings results over the next few years". While exact figures for Watson aren't given, Jefferies pulled together a range of information, including market research data and public filings, to build financial models predicting Watson's future prospects. "Watson services are offered on either a subscription or a pay-per-use basis and everyone can get started for free," an IBM spokesperson told WIRED. "Watson is clearly part of IBM's Strategic Imperatives, whose figures are reported," an IBM spokesperson told WIRED when quizzed on whether the supercomputer is making any money.


Salesforce brings digital transformation to field workers with AI, analytics tools - TechRepublic

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Mobile workers are about to get a tech upgrade: On Wednesday, Salesforce announced Einstein AI and Analytics for Field Service Lightning, its platform that helps the mobile workforce use technology to better respond to customer service calls. The introduction of new tools will allow service workers to tap image recognition, scheduling automation, and actionable insights to improve productivity and efficiency in the field, as well as drive more revenue. "With features including image recognition, automated equipment tracking and analytics baked into the field service process, digital transformation is reaching the field and will enable companies to run their field service organization faster and more efficiently." In terms of availability, Field Service Equipment and Inventory Management can be purchased today with any Field Service Lightning license, which start at $150 for organizations that have at least one Service Cloud license in Enterprise Edition or above.


Artificial Intelligence and Cognitive Computing in Communications, Applications, and Commerce: AI in Internet of Things (IoT), Data Analytics, and Virtual Private Assistants 2017 - 2022

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Overview: Artificial Intelligence (AI) and Cognitive Computing are increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. On the enterprise side, the majority of IT organizations are experimenting with AI in various forms such as Machine Learning, Deep Learning, Computer Vision, Image Recognition, Voice Recognition, Artificial Neural Networks, and more. This research provide a comprehensive assessment of the market opportunities for AI and Cognitive Computing in communications, applications, and commerce. About Reportbuyer Reportbuyer is a leading industry intelligence solution that provides all market research reports from top publishers http://www.reportbuyer.com


volvo-nvidia-partner-self-driving-technology-fully-autonomous-cars-may-be-launched-2557956

International Business Times

Smartphone chipmaker Nvidia has partnered with automotive safety company Autoliv and automotive company Volvo to develop self-driving software and hardware. "This cooperation with NVIDIA places Volvo, Autoliv, and Zenuity at the forefront of the fast-moving market to develop next generation autonomous driving capabilities and will speed up the development of Volvo's own commercially available autonomous drive cars," Håkan Samuelsson, President and Chief Executive of Volvo Cars, stated in the press release Tuesday. The press release further stated the companies will work together to create artificial intelligence-based deep learning solutions for object detection, recognition the anticipation of threats and safe navigation. The self-driven car developed by Nvidia, Volvo, Autoliv, and Zenuity, will use the Nvidia Drive PX2 artificial intelligence based self-driving system which was first showcased at Consumer's Electronic Show (CES) 2016.


Gridsum and Tencent Cloud Debut Intelligent Voice Recognition System to Support Legal Services in China - NASDAQ.com

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BEIJING, June 16, 2017 (GLOBE NEWSWIRE) -- Gridsum Holding Inc. ("Gridsum" or the "Company") (NASDAQ:GSUM), a leading provider of cloud-based big-data analytics, machine learning and Artificial Intelligence solutions in China, today announced the debut of the Intelligent Voice Recognition System jointly developed with Tencent Cloud to help improve the efficiency of the legal system across China. On June 10, the system was demonstrated to senior government officials, including Zhou Qiang, the chief justice and president of China's Supreme People's Court, at the Intermediate People's Court of Chongzuo City in Guangxi. The system fully demonstrates the power of information technology and targeted AI to provide more effective legal services, Chief Justice Zhou said after the demonstration. Gridsum may also make written or oral forward-looking statements in its reports filed with, or furnished to, the U.S. Securities and Exchange Commission, in its annual reports to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties.


Rise of the technophobe - education key to tech adoption, says HSBC Announcement

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The security of peoples' finances is as important as the protection of their personal data (87%) by their bank A lack of understanding and trust in technology is stalling mainstream adoption of innovative new services which could make millions of people's daily lives simpler and more secure, new HSBC research reveals. The HSBC research report, Trust in Technology, shows that technologies such as fingerprint recognition, voice recognition and robo-advice hold enormous potential for uses from bank security to mobile payments and investment advice, yet millions of people who could benefit do not trust them because they do not understand them well enough. The data also show that, people believe their bank offering the protection of their personal data security is as important as the security for their finances (87%). People are twice as likely to trust a humanoid robot for heart surgery (14%) as they are to trust one to open a savings account (7%) and only 11% would trust any type of robot, including chatbots, to open a savings account or provide mortgage advice, despite the power of machines to analyse vast amounts of data to find the best deal.


AI for Everyone: Salesforce Einstein Wants to 'Democratize' Artificial Intelligence Data Center Knowledge

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On Tuesday, Salesforce Einstein – the CRM giant's foray into baked-in artificial intelligence – was launched in general availability, months after Salesforce first launched Einstein at Dreamforce in October. In the lead up to Tuesday's event, Salesforce announced a partnership with IBM on Monday whereby they will deliver joint solutions that combine IBM Watson and Salesforce Einstein. The partnership will initially see an integration of IBM Watson APIs into Salesforce to bring predictive insights from unstructured data with customer data delivered by Salesforce Einstein. The partnership will also enable customers to bring together on-premise enterprise and cloud data with specialized integration products for Salesforce, according to a press release.